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Difference between sensitivity and specificity

Which is better sensitivity or specificity?

A highly sensitive test means that there are few false negative results, and thus fewer cases of disease are missed. The specificity of a test is its ability to designate an individual who does not have a disease as negative. A highly specific test means that there are few false positive results.

Should a screening test be sensitive or specific?

An ideal screening test is exquisitely sensitive (high probability of detecting disease) and extremely specific (high probability that those without the disease will screen negative).

Why is sensitivity and specificity important?

Sensitivity is the percentage of persons with the disease who are correctly identified by the test. Specificity is the percentage of persons without the disease who are correctly excluded by the test. Clinically, these concepts are important for confirming or excluding disease during screening.

What affects sensitivity and specificity?

They are dependent on the prevalence of the disease in the population of interest. The sensitivity and specificity of a quantitative test are dependent on the cut-off value above or below which the test is positive. In general, the higher the sensitivity, the lower the specificity, and vice versa.

How do you remember specificity and sensitivity?

SnNouts and SpPins is a mnemonic to help you remember the difference between sensitivity and specificity. SnNout: A test with a high sensitivity value (Sn) that, when negative (N), helps to rule out a disease (out).

Are sensitivity and specificity inversely related?

Sensitivity and specificity are inversely proportional, meaning that as the sensitivity increases, the specificity decreases and vice versa.
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